PricewaterhouseCoopers - Louisville, KY

posted 11 days ago

Full-time - Senior
Louisville, KY
Professional, Scientific, and Technical Services

About the position

As a Data and Analytics professional at PwC, you will leverage advanced analytical techniques to extract insights from large datasets, driving data-driven decision-making for clients. This role emphasizes the importance of strategic advisory, team leadership, and the ability to navigate complex business challenges while fostering a diverse and inclusive team environment.

Responsibilities

  • Utilize advanced analytical techniques to extract insights from large datasets.
  • Drive data-driven decision-making for clients by leveraging data manipulation, visualization, and statistical modeling.
  • Lead the design and development of Contact Center AI and Conversational AI solutions to enhance customer engagement and operational efficiency.
  • Manage a team of AI consultants, data scientists, developers, and designers, providing guidance and mentoring.
  • Oversee the end-to-end AI development lifecycle, from ideation to deployment and maintenance.
  • Develop and implement strategies for Contact Center AI and Conversational AI that drive user engagement and business growth.
  • Collaborate with stakeholders to ensure AI solutions align with company goals and regulatory requirements.
  • Analyze conversational data to build Natural Language Processing (NLP) modeling pipelines for various AI applications.
  • Communicate effectively with clients to validate outcomes and share alternative perspectives.

Requirements

  • Bachelor's Degree in a relevant field.
  • Minimum of 9 years of experience in data analysis or related fields.
  • Extensive experience in managing client needs and delivering AI solutions.
  • Proven record of success as a team leader in AI and data analytics.

Nice-to-haves

  • Experience with conversational AI platforms such as Google Dialogflow, Amazon Lex, and IBM Watson.
  • Familiarity with data privacy and security regulations.
  • Knowledge of natural language processing (NLP) and machine learning (ML) technologies.
  • Experience with cloud platforms like AWS, Google Cloud, or Microsoft Azure.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k plan
  • Paid holidays
  • Vacation pay
  • Annual discretionary bonus
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